Implementing an Artificial Intelligence System in the Work of General Practitioner in the Yamalo-Nenets Autonomous Okrug: Pilot Cross-sectional Screening Observational Study

Background. Early identification of risk factors (RF) associated with cardiovascular diseases (CVD) is essential for the prevention of CVDs and their complications. CVD risk factors can be identified using Artificial Intelligence (AI) systems, which are capable of learning, analyzing and drawing con...

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Bibliographic Details
Published in:Kuban Scientific Medical Bulletin
Main Authors: E. V. Zhdanova, E. V. Rubtsova
Format: Article in Journal/Newspaper
Language:Russian
Published: Ministry of Healthcare of the Russian Federation. “Kuban State Medical University” 2022
Subjects:
risk factors
risk groups
cardiovascular diseases
artificial intelligence in medicine
prevention of cardiovascular diseasese
hfnm
Medicine
R
Gorodskaya
nenets
Nenets Autonomous Okrug
Yamalo Nenets
Yamalo-Nenets Autonomous Okrug
Online Access:https://doi.org/10.25207/1608-6228-2022-29-4-14-31
https://doaj.org/article/c1e1a17c2a344bbebe37488cc004f5e0

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